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Write a NumPy program to find common values between two arrays. Expected Output: Array1: [ 0 10 20 40 60] Array2: [10, 30, 40] Common values between two arrays: [10 40] 14. Write a NumPy program to compute the covariance matrix of two given arrays. 15. Write a NumPy program to compute cross-correlation of two given arrays. 16.
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NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays. It is the fundamental package for scientific computing with Python. A powerful N-dimensional array object.
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numPy – this module provides an array/matrix type, and it is useful for doing computations on arrays. scipy – this module provides methods for doing numeric integrals, solving differential equations, etc pylab – is a module for generating and saving plots matplotlib – used for managing data and generating plots.
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Candidates are required to attempt two questions each from the sections A & B of the question paper and the entire section C. Use of non-programmable scientific calculator is allowed. SECTION-A. Kinds of Data, Python for Data Analysis, Essential Python Libraries: NumPy, Pandas, Matplotlib, IPython, Jupyter, SciPy, Scikit-learn, Statsmodels
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To set the x – axis values, we use np.arange() method in which first two arguments are for range and third one for step-wise increment. The result is a numpy array. To get corresponding y-axis values, we simply use predefined np.sin() method on the numpy array. Finally, we plot the points by passing x and y arrays to the plt.plot() function.
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How to merge two numpy arrays